Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 145976 Supervised Classification diabetes 67065 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 247.6883, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7409, kappa: 0.4217, kb_relative_information_score: 243.0733, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 280.2673, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 201.2167, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 271.7697, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7354, kappa: 0.4105, kb_relative_information_score: 207.6811, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 308.7158, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6911, kappa: 0.3087, kb_relative_information_score: 218.3295, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.689, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7022, kappa: 0.3351, kb_relative_information_score: 214.1138, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 270.2857, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7677, kappa: 0.4779, kb_relative_information_score: 357.7208, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7735, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7279, kappa: 0.3931, kb_relative_information_score: 230.2035, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7264, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.766, kappa: 0.4763, kb_relative_information_score: 268.1163, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7325, kappa: 0.3974, kb_relative_information_score: 199.1923, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7436, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7501, kappa: 0.4435, kb_relative_information_score: 264.1562, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7503, kappa: 0.4387, kb_relative_information_score: 197.5595, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7545, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7354, kappa: 0.4105, kb_relative_information_score: 232.0529, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6903, kappa: 0.3029, kb_relative_information_score: 173.0443, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6927, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7357, kappa: 0.4116, kb_relative_information_score: 235.8778, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7341, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.753, kappa: 0.4503, kb_relative_information_score: 278.7568, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 257.3874, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.7244, kappa: 0.379, kb_relative_information_score: 316.6616, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.739, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7591, kappa: 0.4649, kb_relative_information_score: 280.0558, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7376, kappa: 0.4241, kb_relative_information_score: 259.907, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7384, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7612, kappa: 0.4627, kb_relative_information_score: 367.0325, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.772, kappa: 0.4953, kb_relative_information_score: 259.8592, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1843.1261, usercpu_time_millis: 13.295, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 12.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 265.1074, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1753.7066, usercpu_time_millis: 12.243, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 11.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7223, kappa: 0.388, kb_relative_information_score: 250.521, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7219, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8973, scimark_benchmark: 1767.1284, usercpu_time_millis: 13.048, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 12.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 252.9952, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1762.3225, usercpu_time_millis: 11.38, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 10.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7705, kappa: 0.4867, kb_relative_information_score: 209.3499, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8421, scimark_benchmark: 1853.454, usercpu_time_millis: 8.589, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 7.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7724, kappa: 0.4931, kb_relative_information_score: 250.9232, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1835.621, usercpu_time_millis: 5.702, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 5.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 217.3584, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1832.6707, usercpu_time_millis: 4.035, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 3.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7388, kappa: 0.4117, kb_relative_information_score: 153.7378, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.747, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 1838.6023, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7546, kappa: 0.4504, kb_relative_information_score: 228.351, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 1839.5885, usercpu_time_millis: 2.169, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7612, kappa: 0.4649, kb_relative_information_score: 234.414, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1839.6613, usercpu_time_millis: 3.406, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7545, kappa: 0.4484, kb_relative_information_score: 196.1089, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1850.2875, usercpu_time_millis: 4.276, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 3.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7517, kappa: 0.4406, kb_relative_information_score: 171.6521, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8563, scimark_benchmark: 1839.0605, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.111,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7701, kappa: 0.4869, kb_relative_information_score: 239.2792, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1751.7586, usercpu_time_millis: 8.829, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 8.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7581, kappa: 0.4657, kb_relative_information_score: 260.4248, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.846, scimark_benchmark: 1768.9485, usercpu_time_millis: 5.275, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 4.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7601, kappa: 0.4651, kb_relative_information_score: 247.0776, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7592, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8288, scimark_benchmark: 1866.5348, usercpu_time_millis: 3.245, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7621, kappa: 0.4678, kb_relative_information_score: 237.6203, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8303, scimark_benchmark: 1756.1476, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 3.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7444, kappa: 0.4267, kb_relative_information_score: 198.7515, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8508, scimark_benchmark: 1777.8966, usercpu_time_millis: 2.574, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 208.4186, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8406, scimark_benchmark: 1735.7347, usercpu_time_millis: 1.948, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7593, kappa: 0.4604, kb_relative_information_score: 229.2332, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1861.9066, usercpu_time_millis: 2.054, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.258, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1865.3572, usercpu_time_millis: 1.587, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 249.9632, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1738.9293, usercpu_time_millis: 1.374, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7523, kappa: 0.4454, kb_relative_information_score: 221.1211, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, scimark_benchmark: 1761.099, usercpu_time_millis: 2.569, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.196,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.5298, kappa: 0.0237, kb_relative_information_score: 69.5254, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6883, predictive_accuracy: 0.6563, prior_entropy: 0.9335, recall: 0.6563, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9341, scimark_benchmark: 1749.5206, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.758, kappa: 0.4611, kb_relative_information_score: 253.5648, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7569, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1727.3373, usercpu_time_millis: 6.56, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 6.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7245, kappa: 0.3796, kb_relative_information_score: 143.8515, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.732, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.892, scimark_benchmark: 1774.63, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7575, kappa: 0.4559, kb_relative_information_score: 211.6709, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1862.5409, usercpu_time_millis: 3.55, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 3.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.735, kappa: 0.4038, kb_relative_information_score: 165.0524, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7403, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8643, scimark_benchmark: 1735.8927, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 264.0096, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 1698.0041, usercpu_time_millis: 20.274, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 18.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7672, kappa: 0.4834, kb_relative_information_score: 263.9213, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8415, scimark_benchmark: 770.0103, usercpu_time_millis: 26.982, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 25.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7193, kappa: 0.3682, kb_relative_information_score: 139.8155, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7241, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8852, scimark_benchmark: 1767.6756, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7736, kappa: 0.4956, kb_relative_information_score: 236.3731, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.773, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1781.8736, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 3.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 233.4875, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1702.2615, usercpu_time_millis: 1.525, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7577, kappa: 0.4574, kb_relative_information_score: 210.2577, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 1809.0359, usercpu_time_millis: 7.19, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 6.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 255.9303, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1736.4377, usercpu_time_millis: 8.128, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 7.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7129, kappa: 0.3542, kb_relative_information_score: 135.4694, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.741, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8799, scimark_benchmark: 1724.0991, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 252.2599, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8265, scimark_benchmark: 1706.2803, usercpu_time_millis: 5.247, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 4.646,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs